Traditional Uses, Phytochemical and Pharmacological Properties of Dovyalis caffra
Bibliographic record
Abstract
Dovyalis caffra is a valuable indigenous African fruit tree widely cultivated throughout the world. The species is also traditionally used as herbal medicine to treat and manage human and animal diseases. This study reviewed ethnobotanical uses, phytochemical and pharmacological properties of D. caffra. Relevant information on the uses, phytochemistry and pharmacological properties of D. caffra was collected from electronic scienti?c databases such as ScienceDirect, SciFinder, PubMed, Google Scholar, Medline, and SCOPUS. Pre-electronic literature search of conference papers, scientific articles, books, book chapters, dissertations and theses were carried out at the University library. Literature search revealed that D. caffra is used as herbal medicine for amenorrhoea, heart pains, malaria, pain, wounds and as ethnoveterinary medicine. Phytochemical compounds identified from the species include alkaloids, amino acids, fatty acids, flavonoids, hydoxybenzioic acids, hydroxycinnamic acids, hydroxyhydrocinnamic acid, hydroxyphenylacetic acids, organic acids, phenolics, steroids, terpenoids and volatile compounds. Pharmacological studies revealed that D. caffra extracts and compounds have antimicrobial, antioxidant, antischistosomal, nematicidal and cytotoxicity activities. There is need for detailed scientific investigations aimed at elucidating the chemical, nutritional and toxicological properties of D. caffra.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".